Triple

T15238893
Position Surface form Disambiguated ID Type / Status
Subject Faith Municipal Airport E364201 entity
Predicate operator P179 FINISHED
Object City of Faith E1145384 NE FINISHED

How this triple was built (2 steps)

Every LLM step that produced this triple, in pipeline order — named-entity classification, the disambiguation choices (the exact options shown, with the pick highlighted), and the generated description. The batch + timestamp of each is in the Provenance table below.

NER Named-entity recognition gpt-5-mini
Instruction
Given a phrase, classify it is english named entity (e.g., persons, organizations, works of art) in Latin script, or not (e.g., literals, dates, URLs, verbose phrases). For disambiguation, the statement where the phrase occurs as object is also given. Please return a JSON object with `phrase` (string, the phrase being analyzed) and `is_ne` (boolean, indicating whether the phrase is a Named Entity).
Input
Phrase: City of Faith | Statement: [Faith Municipal Airport, operator, City of Faith]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: City of Faith
Context triple: [Faith Municipal Airport, operator, City of Faith]
  • A. City of Faith chosen
    City of Faith is a small municipal jurisdiction that owns and operates the local Faith Municipal Airport.
  • B. City of the Living Waters
    City of the Living Waters is the nickname of Bislig, a coastal city in the Philippines known for its abundant waterfalls and rich aquatic natural attractions.
  • C. City of Churches
    City of Churches is a well-known nickname for Adelaide, highlighting its historic abundance of churches and strong religious heritage.
  • D. City of Saints
    City of Saints is a reverential nickname for Multan, a historic Pakistani city renowned for its many Sufi shrines and spiritual heritage.
  • E. The Holy City
    The Holy City is a darkly comic, psychologically intense novel by Irish author Patrick McCabe that explores obsession, memory, and small-town life in contemporary Ireland.
  • F. None of above.
  • G. Unsure - the case is ambiguous/there is not enough information to decide.

Provenance (3 batches)

The batch behind each pipeline step, in order, with when it ran. Timestamps are batch-level — stages were processed in waves, so the object chain (NER → NED1 → NEDg → NED2) reads in order, but predicate / elicitation batches can sit in a different wave.

Step Stage Batch ID Status When
creating Elicitation batch_69d85a0dde7481908fc64d1e82d5d20d completed April 10, 2026, 2:01 a.m.
NER Named-entity recognition batch_69e007da7e988190925a9b67b8070bc7 completed April 15, 2026, 9:49 p.m.
NED1 Entity disambiguation (via context triple) batch_69fee5efb0108190b3b45e9917721354 completed May 9, 2026, 7:44 a.m.
Created at: April 10, 2026, 3:12 a.m.